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Scribbleprompt: fast and flexible interactive segmentation for any biomedical image
Biomedical image segmentation is a crucial part of both scientific research and clinical care.
With enough labelled data, deep learning models can be trained to accurately automate …
With enough labelled data, deep learning models can be trained to accurately automate …
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
X Luo, W Liao, J ** framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples
Despite the proven effectiveness of data-driven deep learning techniques in urban flood
map**, the availability of annotation data remains a critical factor impeding their timeliness …
map**, the availability of annotation data remains a critical factor impeding their timeliness …
Towards segment anything model (SAM) for medical image segmentation: a survey
Y Zhang, R Jiao - ar** medical image segmentation models that are essential for …